Data Analyst Manager - Model Risk Office

Overview

The Model Risk Governance - Reporting and Automation team within the Model Risk Office provides risk reporting to the enterprise and optimizes process operations. The team aims to transform model risk management by replacing legacy reporting with an interactive, GenAI-centric reporting ecosystem and deploying scalable AI solutions.

What You’ll Do

• Buils and deploys scalable artificial intelligence and machine learning models to automate existing model risk management processes, reporting, and controls
• Architects and deploys an interactive, conversational reporting chatbot powered by AI solutions
• Experiment with and develops advanced, multi-agent AI workflows designed to execute complex cognitive tasks
• Optimizes data integration across core systems into centralized infrastructure to create a highly accurate, audited "source of truth" for model risk metrics
• Drives current and future strategy by leveraging analytical skills
• Assists with building and using models to test and validate data
• Works with vast amounts of data in new and evolving environments
• Be a part of growing and developing our brand in new and emerging markets
• Leverage analytics to create a customer experience above our peers
• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
• Be a part of the full life cycle of projects and see end results
• Collaborate across business units
• Work with top talent in a fast-paced, entrepreneurial environment where analytics and good data are a top priority
• Experience real work-life balance, with little travel involved

Basic Qualifications

• Currently has, or is in the process of obtaining a: - Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or - Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
• At least 4 years of experience performing professional data analysis work
• At least 4 years of experience performing programming

Preferred Qualifications

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
• At least 7 years of professional data analysis work experience
• At least 4 years of experience with Python, R, Spark or SQL
• At least 1 year of experience in people management
• At least 1 years of project management experience
• At least 1 year of experience in interactive reporting tools such as Tableau or Quicksight
• At least 1 years of experience in a Model Risk Management, Risk Governance, or highly regulated financial environment
• At least 1 years of experience working with Large Language Models (LLMs) and advanced AI toolsets (e.g., Claude Code, Github Copilot, Gemini, Google Workspace Studio).
• Proficient utilizing and developing within AWS service

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Learn more at the Capital One Careers website.

Application Process

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

Contact Information

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com